数据云中基于启发式反向蜂群的虚拟机选择节能算法

Journal of Jilin University Science Edition

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VM Selection EnergyEfficiency Algorithm Based on HeuristicBackward Artificial Bee Colony Method in Data Clouds

JIANG Jianhua^1,2, LIU Yu^2, WANG Limin², CHEN Jian¹, HUANG Na^1,3, WEI Xiaohui⁴

1. Laboratory of Logistics Industry Economy and Intelligent Logistics, Jilin University of Financeand Economics, Changchun 130117, China; 2. School of Management Science and Information Engineering,Jilin University of Finance and Economics, Changchun 130117, China; 3. School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai200433, China; 4. College of Computer Science and Technology, Jilin University, Changchun 130012, China

Received:2014-03-21 Online:2014-11-26 Published:2014-12-11
Contact: WANG Limin E-mail:wlm_new@163.com

Abstract

Abstract:

Energyefficiency is a crucial issue in data center. Since dataintensive jobs have the characteristics of frequently reading and writing operations, CPU and RAM utilization rates are considered as two important influencing factors to make energyefficiency evaluation model. Artificial bee colony algorithm and heuristic backward thinking were applied to VM selection phase in VM migration policy to save energy. Compared with MMT,RS and MU algorithms in CloudSim, the proposed VM selection algorithm, ABCS, made energy 20%—25% saved and VM migration frequency less than 5%.

Key words: cloud computing, VM migration, VM selection, artificial bee colony algorithm

CLC Number:

TP316

JIANG Jianhua, LIU Yu, WANG Limin, CHEN Jian, HUANG Na, WEI Xiaohui. VM Selection EnergyEfficiency Algorithm Based on HeuristicBackward Artificial Bee Colony Method in Data Clouds[J].Journal of Jilin University Science Edition, 2014, 52(06): 1239-1248.

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VM Selection EnergyEfficiency Algorithm Based on HeuristicBackward Artificial Bee Colony Method in Data Clouds

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